348 lines
14 KiB
Rust
348 lines
14 KiB
Rust
//! GlyphOS Model Bridge: Forcing Neural Logits through Substrate Physics
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//! This acts as a neuro-symbolic guardrail and inference engine.
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use std::collections::HashMap;
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// ============================================================================
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// 1. SUBSTRATE PHYSICS (Ported from substrate_engine.c & evaluator.c)
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// ============================================================================
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#[derive(Clone, Copy, PartialEq, Eq, PartialOrd, Ord, Debug)]
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#[repr(u8)]
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enum SymLevel { VOID = 0, NASCENT = 1, WEAK = 2, MODERATE = 3, STRONG = 4, RADIANT = 5, ABSOLUTE = 6 }
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impl SymLevel {
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fn decay(self, coherence: SymLevel) -> SymLevel {
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if coherence >= SymLevel::STRONG { return self; }
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if self as u8 > 0 { return SymLevel::from_u8(self as u8 - 1); }
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SymLevel::VOID
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}
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fn boost(self) -> SymLevel {
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if (self as u8) < 6 { return SymLevel::from_u8(self as u8 + 1); }
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SymLevel::ABSOLUTE
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}
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fn from_u8(v: u8) -> SymLevel {
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match v {
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0 => SymLevel::VOID, 1 => SymLevel::NASCENT, 2 => SymLevel::WEAK,
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3 => SymLevel::MODERATE, 4 => SymLevel::STRONG, 5 => SymLevel::RADIANT,
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_ => SymLevel::ABSOLUTE,
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}
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}
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fn name(self) -> &'static str {
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match self {
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SymLevel::VOID => "VOID", SymLevel::NASCENT => "NASCENT", SymLevel::WEAK => "WEAK",
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SymLevel::MODERATE => "MODERATE", SymLevel::STRONG => "STRONG",
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SymLevel::RADIANT => "RADIANT", SymLevel::ABSOLUTE => "ABSOLUTE",
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}
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}
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}
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#[derive(Clone, Copy, PartialEq, Eq, Debug)]
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#[repr(u8)]
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enum SymResonance { DISSONANT = 0, INERT = 1, HARMONIC = 2, RESONANT = 3, ENTANGLED = 4 }
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impl SymResonance {
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fn name(self) -> &'static str {
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match self {
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SymResonance::DISSONANT => "DISSONANT", SymResonance::INERT => "INERT",
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SymResonance::HARMONIC => "HARMONIC", SymResonance::RESONANT => "RESONANT",
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SymResonance::ENTANGLED => "ENTANGLED",
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}
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}
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}
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// Bitmask algebra from substrate_traits_propagate
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fn traits_propagate(a: u64, b: u64) -> u64 {
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let shared = a & b;
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let emergent = a ^ b;
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shared | (emergent & 0x00000000FFFFFFFF)
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}
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fn resonance_between_nodes(a: u64, b: u64) -> SymResonance {
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let shared = a & b;
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let pop = shared.count_ones();
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if pop > 12 { SymResonance::ENTANGLED }
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else if pop > 8 { SymResonance::RESONANT }
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else if pop > 4 { SymResonance::HARMONIC }
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else if pop > 0 { SymResonance::INERT }
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else { SymResonance::DISSONANT }
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}
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// ============================================================================
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// 2. THE GLYPH GRAPH & EVALUATOR
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// ============================================================================
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#[derive(Clone)]
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struct GlyphNode {
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id: usize,
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text: String,
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traits: u64,
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coherence: SymLevel,
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stability: SymLevel,
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energy: SymLevel,
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active: bool,
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is_anchor: bool,
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}
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struct GlyphGraph {
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nodes: Vec<GlyphNode>,
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edges: Vec<Vec<usize>>,
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epoch: u32,
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}
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impl GlyphGraph {
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fn new() -> Self { Self { nodes: Vec::new(), edges: Vec::new(), epoch: 0 } }
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fn add_node(&mut self, text: &str, traits: u64, energy: SymLevel, is_anchor: bool) -> usize {
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let id = self.nodes.len();
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self.nodes.push(GlyphNode {
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id, text: text.to_string(), traits,
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coherence: SymLevel::MODERATE,
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stability: if is_anchor { SymLevel::ABSOLUTE } else { SymLevel::STRONG },
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energy, active: true, is_anchor,
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});
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self.edges.push(Vec::new());
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id
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}
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fn connect(&mut self, a: usize, b: usize) {
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self.edges[a].push(b);
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self.edges[b].push(a);
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}
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fn recompute_coherence(&mut self) {
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for i in 0..self.nodes.len() {
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if !self.nodes[i].active || self.nodes[i].is_anchor { continue; }
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if self.edges[i].is_empty() { self.nodes[i].coherence = SymLevel::WEAK; continue; }
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let mut counts = [0; 5];
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let mut active_edges = 0;
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for &target in &self.edges[i] {
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if self.nodes[target].active {
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let r = resonance_between_nodes(self.nodes[i].traits, self.nodes[target].traits);
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counts[r as usize] += 1;
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active_edges += 1;
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}
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}
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if active_edges == 0 { continue; }
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let mut max_count = 0;
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let mut dominant = SymResonance::DISSONANT;
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for (c, &count) in counts.iter().enumerate() {
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if count > max_count { max_count = count; dominant = SymResonance::from_u8(c as u8); }
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}
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self.nodes[i].coherence = match dominant {
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SymResonance::ENTANGLED => SymLevel::ABSOLUTE,
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SymResonance::RESONANT => SymLevel::RADIANT,
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SymResonance::HARMONIC => SymLevel::STRONG,
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SymResonance::INERT => SymLevel::MODERATE,
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SymResonance::DISSONANT => SymLevel::WEAK,
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};
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}
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}
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fn prune(&mut self, threshold: SymLevel) -> u32 {
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let mut pruned = 0;
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for node in &mut self.nodes {
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if node.active && !node.is_anchor && node.stability < threshold {
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node.active = false;
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pruned += 1;
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}
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}
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pruned
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}
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fn evaluate(&mut self, max_epochs: u32) {
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println!("\n╔══════════════════════════════════════════╗");
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println!("║ SUBSTRATE EVALUATOR — Convergence Loop ║");
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println!("╠══════════════════════════════════════════╣");
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println!("║ Nodes: {:<33} ║", self.nodes.len());
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println!("╚══════════════════════════════════════════╝");
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self.recompute_coherence();
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for epoch in 0..max_epochs {
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let mut changes = 0;
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let prev_states: Vec<(SymLevel, SymLevel)> = self.nodes.iter().map(|n| (n.energy, n.coherence)).collect();
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// Phase 1 & 2: Decay and Boost
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for i in 0..self.nodes.len() {
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if !self.nodes[i].active || self.nodes[i].is_anchor { continue; }
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let coh = self.nodes[i].coherence;
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self.nodes[i].stability = self.nodes[i].stability.decay(coh);
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if coh >= SymLevel::STRONG {
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self.nodes[i].energy = self.nodes[i].energy.boost();
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}
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}
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// Phase 3: Prune hallucinations
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let pruned = self.prune(SymLevel::NASCENT);
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// Count changes
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for i in 0..self.nodes.len() {
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if self.nodes[i].active &&
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(self.nodes[i].energy != prev_states[i].0 || self.nodes[i].coherence != prev_states[i].1) {
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changes += 1;
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}
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}
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// Find global state
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let mut max_energy = SymLevel::VOID;
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let mut active_nodes = 0;
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for n in &self.nodes {
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if n.active && !n.is_anchor {
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if n.energy > max_energy { max_energy = n.energy; }
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active_nodes += 1;
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}
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}
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println!(" epoch {:4} | changes={} | nodes={} | stab=STRONG energy={} | pruned {}",
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epoch, changes, active_nodes, max_energy.name(), pruned);
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if changes == 0 || active_nodes == 0 {
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println!("\n>>> CONVERGED at epoch {} (Hallucinations Pruned)", epoch);
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break;
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}
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self.epoch += 1;
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}
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}
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}
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impl SymResonance {
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fn from_u8(v: u8) -> SymResonance {
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match v {
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0 => SymResonance::DISSONANT, 1 => SymResonance::INERT, 2 => SymResonance::HARMONIC,
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3 => SymResonance::RESONANT, _ => SymResonance::ENTANGLED,
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}
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}
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}
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// ============================================================================
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// 3. THE MODEL BRIDGE (Neural -> Symbolic Translation)
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// ============================================================================
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struct CandidateToken {
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text: String,
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logit: f32,
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traits: u64,
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}
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fn mock_neural_forward_pass(prompt: &str) -> Vec<CandidateToken> {
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// Simulating a neural model that has a bias/hallucination
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// Context: "The capital of France is" -> Traits: Geography/Facts (0x00FF)
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vec![
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CandidateToken { text: "Paris".to_string(), logit: 4.5, traits: 0x00000000000000FF }, // Correct
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CandidateToken { text: "London".to_string(), logit: 2.1, traits: 0x00000000000000FF }, // Plausible
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CandidateToken { text: "Banana".to_string(), logit: 3.8, traits: 0x0000000000FF0000 }, // HALLUCINATION (High logit, wrong traits!)
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CandidateToken { text: "The".to_string(), logit: 1.5, traits: 0x0000000000000000 }, // Grammar (Inert)
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]
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}
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fn logit_to_energy(logit: f32) -> SymLevel {
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if logit > 4.0 { SymLevel::RADIANT }
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else if logit > 2.5 { SymLevel::STRONG }
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else if logit > 1.0 { SymLevel::MODERATE }
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else { SymLevel::NASCENT }
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}
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// ============================================================================
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// 4. MAIN PIPELINE
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// ============================================================================
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fn main() {
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println!("
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╔══════════════════════════════════════════════════════════╗
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║ GLYPHOS MODEL BRIDGE: PATH 2 INTEGRATION ║
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╚══════════════════════════════════════════════════════════╝");
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let prompt = "The capital of France is";
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println!("\n[PROMPT] \"{}\"", prompt);
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// 1. Neural Forward Pass
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println!("\n--- PHASE 1: NEURAL LOGIT EXTRACTION ---");
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let candidates = mock_neural_forward_pass(prompt);
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println!("Model returned {} candidates:", candidates.len());
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for c in &candidates {
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println!(" {:<10} logit={:.2} | traits=0x{:016X}", format!("\"{}\"", c.text), c.logit, c.traits);
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}
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println!(" ⚠ Notice 'Banana' has a high logit (3.8) due to model bias!");
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// 2. Graph Construction
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println!("\n--- PHASE 2: SUBSTRATE GRAPH MAPPING ---");
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let mut graph = GlyphGraph::new();
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// Context Anchor (The Prompt)
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let context_traits = 0x00000000000000FF; // Geography/Facts
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let anchor_id = graph.add_node("CONTEXT", context_traits, SymLevel::ABSOLUTE, true);
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println!(" Mapped Prompt -> Node {} (ANCHOR, traits=0x{:016X})", anchor_id, context_traits);
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let mut node_ids = Vec::new();
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for c in &candidates {
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let energy = logit_to_energy(c.logit);
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let id = graph.add_node(&c.text, c.traits, energy, false);
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graph.connect(anchor_id, id); // Connect to context
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node_ids.push(id);
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println!(" Mapped {:<10} -> Node {} (energy={}, traits=0x{:016X})",
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format!("\"{}\"", c.text), id, energy.name(), c.traits);
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}
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// 3. Substrate Evaluation (The Guardrail)
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println!("\n--- PHASE 3: SUBSTRATE CONVERGENCE ---");
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graph.evaluate(10);
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// 4. Symbolic Extraction
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println!("\n--- PHASE 4: VERIFIED SYMBOLIC OUTPUT ---");
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let mut best_token = "NONE";
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let mut best_energy = SymLevel::VOID;
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for i in 0..graph.nodes.len() {
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let n = &graph.nodes[i];
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if n.active && !n.is_anchor {
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println!(" ✓ SURVIVED: {:<10} | energy={} | stab={}",
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format!("\"{}\"", n.text), n.energy.name(), n.stability.name());
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if n.energy > best_energy {
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best_energy = n.energy;
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best_token = &n.text;
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}
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} else if !n.is_anchor {
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println!(" ✗ PRUNED: {:<10} | HALLUCINATION DESTROYED BY SUBSTRATE", format!("\"{}\"", n.text));
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}
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}
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println!("\n[FINAL OUTPUT] {} {}", prompt, best_token);
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println!("[SYSTEM] The neural model's hallucination was mathematically pruned.");
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// =========================================================================
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// PHASE 5: CLOSING THE LOOP (Generating Imperative Bytecode)
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// =========================================================================
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println!("\n--- PHASE 5: CLOSING THE LOOP (Declarative -> Imperative) ---");
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let mut gasm_code = String::new();
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gasm_code.push_str("; ==========================================\n");
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gasm_code.push_str("; Auto-generated by GlyphOS Substrate Guardrail\n");
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gasm_code.push_str("; Hallucinations have been mathematically pruned.\n");
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gasm_code.push_str("; ==========================================\n");
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gasm_code.push_str("REGION_NEW %r1, %r0 ; Allocate verified memory region\n");
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for i in 0..graph.nodes.len() {
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let n = &graph.nodes[i];
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if n.active && !n.is_anchor {
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gasm_code.push_str(&format!("; Verified Token: \"{}\" (Energy: {})\n", n.text, n.energy.name()));
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// In a full implementation, we would write the string bytes here.
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// For the VM demo, we fill the region with a constant to prove it's grounded.
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gasm_code.push_str("REGION_FILL_CONST %r1, %r0\n");
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}
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}
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gasm_code.push_str("HALT ; Safe execution complete\n");
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std::fs::write("verified_output.gasm", &gasm_code).unwrap();
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println!(" Generated: verified_output.gasm");
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println!("\n[SYSTEM] To execute this verified logic in the C-Kernel, run:");
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println!(" ./glyph-as verified_output.gasm -o verified.gobj");
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println!(" ./glyph-kernel verified.gobj");
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}
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